What you will learn in Game Theory Course
- Fundamentals of Game Theory: Understand the mathematical modeling of strategic interaction among rational (and irrational) agents.
- Game Representation: Learn to represent games and strategies, including the extensive form (game trees) and normal form.
- Nash Equilibrium: Explore the concept of Nash Equilibrium and its applications in various strategic scenarios.
- Bayesian Games: Study games with incomplete information and how to model them using Bayesian methods.
- Repeated and Stochastic Games: Understand the dynamics of games played over time and those involving randomness.
Program Overview
Introduction to Game Theory
⏳ 17 hours
Overview of game theory concepts, including the importance of strategic decision-making in real-world applications.
Game Representation
⏳ 17 hours
Learn how to represent different types of games using normal and extensive forms, including analyzing payoffs and strategies.
Nash Equilibrium and Applications
⏳ 17 hours
Understand Nash Equilibrium and its significance in solving competitive situations, such as auctions, market behavior, and negotiation.
Bayesian Games
⏳ 17 hours
Dive into games with incomplete information and how Bayesian methods help solve these types of games.
Repeated Games and Stochastic Games
⏳ 17 hours
Study the dynamics of games played multiple times and games involving randomness, including strategies for cooperation and defection.
Final Project
⏳ 17 hours
Apply the learned concepts to real-world strategic decision-making problems, including negotiations, auctions, and market analysis.
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Job Outlook
- Proficiency in Game Theory is valuable for roles such as:
Economist
Data Analyst
Policy Advisor
Strategic Consultant
- Skills acquired in this course are applicable across various industries, including finance, technology, and public policy.
- Completing this course can enhance your qualifications for positions that require strategic decision-making and analytical skills.
Specification: Game Theory
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